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SpaFun: discovering domain-specific spatial expression patterns and new disease-relevant genes using functional principal component analysis.

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第一作者： Xi,Jiang

第一单位： Quantitative Biomedical Research Center, Department of Health Data Science & Biostatistics, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, United States.;Department of Statistics and Data Science, Southern Methodist University, 6425 Boaz Lane, Dallas, TX 75205, United States.

作者： Xi,Jiang ^[1] ; Yanghong,Guo ^[2] ; Lei,Guo ^[3] ; Lin,Zhong ^[3] ; Jiayi,Wang ^[2] ; Guanghua,Xiao ^[3] ; Qiwei,Li ^[2] ; Lin,Xu ^[3]

作者单位： Quantitative Biomedical Research Center, Department of Health Data Science & Biostatistics, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, United States.;Department of Statistics and Data Science, Southern Methodist University, 6425 Boaz Lane, Dallas, TX 75205, United States. ^[1] Department of Mathematical Sciences, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX 75080, United States. ^[2] Quantitative Biomedical Research Center, Department of Health Data Science & Biostatistics, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, United States. ^[3]

关键词 domain-representative gene (DRG)functional principal component analysis (fPCA)spatial expression pattern spatially resolved transcriptomics (SRT)spatially variable gene (SVG)

医学主题词主成分分析(Principal Component Analysis);人类(Humans);算法(Algorithms);基因表达谱(Gene Expression Profiling);肿瘤(Neoplasms);计算生物学(Computational Biology)

DOI 10.1093/bib/bbag150

PMID 41947421

发布时间 2026-06-21

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